Tourist Satisfaction: Relationship Analysis among its Antecedents and Revisit Intention

Bam, Nirajan; Kunwar, Amrita

doi:10.30519/ahtr.519994

Cited by 16 publications

(10 citation statements)

References 31 publications

(65 reference statements)

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“…Pokhara is a famous tourist destination for sightseeing, hiking, sports tourism, and mountaineering. The city is surrounded by the beautiful Himalayan range of Mount Annapurna and several lakes (Bam & Kunwar, 2020). Pokhara covers approximately 35% of the tourists who have visited Nepal in the last ten years (Bam & Kunwar, 2020).…”

Section: Data Collectionmentioning

confidence: 99%

“…The city is surrounded by the beautiful Himalayan range of Mount Annapurna and several lakes (Bam & Kunwar, 2020). Pokhara covers approximately 35% of the tourists who have visited Nepal in the last ten years (Bam & Kunwar, 2020). The data for this study were collected from tourists who visited Pokhara and stayed there for at least one night.…”

Section: Data Collectionmentioning

confidence: 99%

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Analysis of Tourists’ Length of Stay in Pokhara, Nepal

Bam

2023

Advances in Hospitality and Tourism Research (AHTR)

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Tourists’ length of stay (LOS) is desired by researchers and tourism business managers because it contributes to tourism earnings. Although Pokhara is a popular tourist destination in Nepal, no previous study has empirically investigated tourists’ LOS. Thus, this study investigates tourists’ LOS in Pokhara, Nepal. The data for this study were collected through a survey of 275 visitors who stayed at least one night in Pokhara. Zero-truncated negative binomial and ordinary least squares regressions were used to model tourists’ LOS and determinants. In general, both methods produce similar estimates. The results suggest that visit frequency, nationality, age, education level, and expenditure are major determinants of tourists’ LOS. Contrary to expectations, gender and satisfaction are not statistically significant indicators. These findings have important implications for tourism managers and policymakers.

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Section: Data Collectionmentioning

confidence: 99%

Section: Data Collectionmentioning

confidence: 99%

Analysis of Tourists’ Length of Stay in Pokhara, Nepal

Bam

2023

Advances in Hospitality and Tourism Research (AHTR)

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“…Studies related to tourism in Nepal were also prevalent and research shows that tourist satisfaction was a common subject with many scholars working on this aspect. Satisfaction studies have covered topics related to hotels [26], tourist behavior and satisfaction [27], tourist satisfaction and revisit intention [28], visitor perceptions of the world heritage value of Mt. Everest [29], community tourism, cultural and religious tourism [29].…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-dimensional Analysis and Prediction Model for Tourist Satisfaction

2022

KSII TIIS

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This work assesses the degree of satisfaction tourists receive as final recipients in a tourism destination based on the fact that satisfied tourists can make a significant contribution to the growth and continuous improvement of a tourism business. The work considers Pokhara, the tourism capital of Nepal as a prefecture of study. A stratified sampling methodology with open-ended survey questions is used as a primary source of data for a sample size of 1019 for both international and domestic tourists. The data collected through a survey is processed using a data mining tool to perform multi-dimensional analysis to discover information patterns and visualize clusters. Further, supervised machine learning algorithms, kNN, Decision tree, Support vector machine, Random forest, Neural network, Naïve Bayes, and Gradient boost are used to develop models for training and prediction purposes for the survey data. To find the best model for prediction purposes, different performance matrices are used to evaluate a model for performance, accuracy, and robustness. The best model is used in constructing a learning-enabled model for predicting tourists as satisfied, neutral, and unsatisfied visitors. This work is very important for tourism business personnel, government agencies, and tourism stakeholders to find information on tourist satisfaction and factors that influence it. Though this work was carried out for Pokhara city of Nepal, the study is equally relevant to any other tourism destination of similar nature.

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“…For Poon and Low (2005), consumer satisfaction or dissatisfaction is the result of the interaction between expectations in the pre-purchase phase and the evaluation in post-purchase. When the experience results in positive feelings, tourists are satisfied and this makes them recommend the service and make positive comments about the destination (Chen and Chen, 2010;Bam and Kunwar (2020). Buying behaviour and customer decisions depend on a satisfactory assessment of their affective experiences about a product or service (Han and Hyun, 2017).…”

Section: Customer Satisfaction With Hotel Meals and Their Behavioural...mentioning

confidence: 99%

The Role of Breakfast in Hotel Selection, Satisfaction and Intention to Return: A Two-Fold Approach Looking at Guests and Managers’ Perspectives

LEITE-PEREIRA¹,

BRANDÃO²,

COSTA³

2022

GTG

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To determine the importance guests give to breakfast when choosing and returning hotels and hotel managers’ perception on this topic. Relevance of consumer behavior and satisfaction for marketing in hospitality. Two different online questionnaires sent to hotel guests (n=626) and to European managers (n=112). Namely for European guests, breakfast is among the 3 main attributes when choosing a hotel. Online information about breakfast influences breakfast’s ranking and the prospect of returning. Most managers recognize breakfast as important for guests’ choosing process. Breakfast is valued by hotel guests when they travel and managers should convey more descriptions of breakfast online. This is the first assessment both of travelers and managers regarding the value of breakfast for choosing and returning to hotels.

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Tourist Satisfaction: Relationship Analysis among its Antecedents and Revisit Intention

Cited by 16 publications

References 31 publications

Analysis of Tourists’ Length of Stay in Pokhara, Nepal

Analysis of Tourists’ Length of Stay in Pokhara, Nepal

Multi-dimensional Analysis and Prediction Model for Tourist Satisfaction

The Role of Breakfast in Hotel Selection, Satisfaction and Intention to Return: A Two-Fold Approach Looking at Guests and Managers’ Perspectives

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